ML , with practical exposure to computer vision and explainable AI . Strong coding in Python , with experience building models end-to-end and deploying lightweight web apps (Dash/Streamlit). Understanding of model explainability (SHAP, LIME, feature attribution) . Hands-on with multimodal data (images + text) preferred. Comfortable in a fast-moving, creative environment; self-starter with a More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
model using image data & historical engagement metrics? Identify which image characteristics (colour, objects, themes) influence customer behaviour? Implement explainability (e.g. SHAP, feature importance)? Build a simple internal UI (Dash, Streamlit, or Flask) for stakeholders to explore insights? Present findings and guide technical decision-making internally? Enable deployment teams to operationalise your solution What Success Looks Like By the end of … Scikit-learn) SQL AWS cloud experience Proven end-to-end ownership of data science solutions Model explainability (SHAP, LIME, feature importance) Ability to build simple dashboards or web apps (Streamlit, Dash, or Flask) Nice-to-Have: Experience working with image data Exposure to marketing analytics or customer behaviour modelling More ❯
